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Correlation describes how two markets tend to move in relation to each other. A positive correlation means they move in the same direction most of the time. A negative correlation means they tend to move in opposite directions. Correlations are never perfectly fixed, but strong tendencies show up again and again because the same underlying forces, like interest rates, growth expectations, and risk appetite, ripple across multiple assets at once.
The clearest example is the US dollar and gold. Since gold is priced in dollars and both compete as stores of value, a stronger dollar usually makes gold cheaper for holders of other currencies and reduces its appeal as an alternative to cash, so gold often falls as the dollar rises. Oil and the Canadian dollar show the opposite kind of link, but pointed the same direction: Canada is a major oil exporter, so when oil prices climb, more revenue flows into Canada and its currency tends to strengthen alongside crude.
Correlations also exist within a single asset class. The Nasdaq and the S&P 500 usually rise and fall together because a huge share of S&P 500 performance comes from the same large technology companies that dominate the Nasdaq, though the Nasdaq swings harder in both directions since it is more concentrated in growth stocks. Crypto shows an even tighter version of this pattern: Bitcoin acts as the market's anchor, and most altcoins amplify its moves, rallying harder when Bitcoin rises and dropping faster when it falls.
Knowing these relationships matters for risk management as much as for analysis. A trader who is long the Nasdaq and long several tech-heavy altcoins during a risk-off move may find both positions losing money for the same underlying reason, even though they look like separate bets. Correlations can also weaken or flip during unusual periods, so they should be treated as a useful lens rather than a fixed rule.
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